Universe

visual-context Computer Vision Dataset

byPerfumingTask:
Object Detection
License:CC BY 4.0

How to use the visual-context Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="perfuming/visual-context-instant-1")
Give your agent everything it needs

Or, Use Free S_Casual, S_Formal and S_Lovely Detection API

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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "S_Casual, S_Formal, S_Lovely, S_Sporty, S_Street"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 
See all 311 imagesvisual-context Style-Place-Time sample showing S_Streetvisual-context Style-Place-Time sample showing S_Formalvisual-context Style-Place-Time samplevisual-context Style-Place-Time samplevisual-context Style-Place-Time sample showing S_Casualvisual-context Style-Place-Time samplevisual-context Style-Place-Time samplevisual-context Style-Place-Time sample showing S_Lovelyvisual-context Style-Place-Time sample showing S_Formalvisual-context Style-Place-Time samplevisual-context Style-Place-Time sample showing S_Casualvisual-context Style-Place-Time sample showing S_Casual

About visual-context Model

A description for this project has not been published yet.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ visual-context_dataset,
  title = { visual-context Dataset },
  type = { Open Source Dataset },
  author = { Perfuming },
  howpublished = { \url{ https://universe.roboflow.com/perfuming/visual-context } },
  url = { https://universe.roboflow.com/perfuming/visual-context },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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